eprintid: 1862
rev_number: 6
eprint_status: archive
userid: 283
dir: disk0/00/00/18/62
datestamp: 2016-09-04 11:16:45
lastmod: 2016-09-04 11:16:45
status_changed: 2016-09-04 11:16:45
type: article
metadata_visibility: show
creators_name: Nguyen, Thu-Trang
creators_name: Nguyen, Thi-Hau
creators_name: Nguyen, Ha-Nam
creators_name: Nguyen, Duc-Nhan
creators_name: Choi, GyooSeok
title: Detecting user status from smartphone sensor data
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.
date: 2016
date_type: published
official_url: http://doi.org/10.17703/IJACT.2016.4.1.28
id_number: doi:10.17703/IJACT.2016.4.1.28
full_text_status: none
publication: The International Journal of Advanced Culture Technology
volume: 4
number: 1
pagerange: 28-30
refereed: TRUE
issn: 2288-7202
citation:   Nguyen, Thu-Trang and Nguyen, Thi-Hau and Nguyen, Ha-Nam and Nguyen, Duc-Nhan and Choi, GyooSeok  (2016) Detecting user status from smartphone sensor data.  The International Journal of Advanced Culture Technology, 4  (1).   pp. 28-30.  ISSN 2288-7202